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Oct 12 · Monday

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Found 2 papers
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Attack technique

Gradient and representation optimization1Multi-turn escalation4Encoding and obfuscation9Role-play and persuasion5Conversation structure manipulation1Cross-modal payloads3

Layer

Prompt layer2Application layer3
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Attack technique：Gradient and representation optimizationAttack technique：Conversation structure manipulationLayer：Prompt layerClear all

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  1. Evaluation and benchmarksarXiv 2607.19855

    研究者提出最小范数攻击集成，用鲁棒性曲线替代单一 ε 评测

    提出最小范数攻击集成，用鲁棒性曲线评测图像分类器

    arXiv
    2607.19855
    Published
    Layer
    Prompt layer
    Setting
    Models and APIs
    Evaluated models
    C1–C20（CIFAR-10，Table 1）, I1–I10（ImageNet，Table 1）
    Abstract预算可控的最小范数集成用 AOI 逼近攻击前沿，DOI 给出不依赖单一ε的防御排序。

    这篇工作把对抗鲁棒评测从单一 ε、固定集成，改成可按查询预算收紧的曲线估计。

    Paper analysisRead analysis
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